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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte2.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP6W34M/3JM4A4E
Repositorysid.inpe.br/marte2/2015/06.15.15.07.24
Last Update2015:06.15.15.07.24 (UTC) banon
Metadata Repositorysid.inpe.br/marte2/2015/06.15.15.07.25
Metadata Last Update2018:06.06.03.20.14 (UTC) administrator
ISBN978-85-17-0076-8
Label504
Citation KeyBendiniGKMTESF:2015:EfImFu
TitleEffects of Image Fusion Methods on Sugarcane Classification with Landsat-8 Imagery
FormatInternet
Year2015
Access Date2024, Apr. 25
Secondary TypePRE CN
Number of Files1
Size1364 KiB
2. Context
Author1 Bendini, Hugo do Nascimento
2 Girolamo Neto, Cesare Di
3 Korting, Thales Sehn
4 Marujo, Rennan de Freitas Bezerra
5 Trabaquini, Kleber
6 Eberhardt, Isaque Daniel Rocha
7 Sanches, Ieda Del Arco
8 Fonseca, Leila Maria Garcia
Resume Identifier1
2
3
4
5
6
7
8 8JMKD3MGP5W/3C9JHLD
Group1 SER-SRE-SPG-INPE-MCTI-GOV-BR
2 SER-SRE-SPG-INPE-MCTI-GOV-BR
3 DPI-OBT-INPE-MCTI-GOV-BR
4 SER-SRE-SPG-INPE-MCTI-GOV-BR
5
6
7 DSR-OBT-INPE-MCTI-GOV-BR
8 OBT-OBT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5
6
7 Instituto Nacional de Pesquisas Espaciais (INPE)
8 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 hbendini@dsr.inpe.br
EditorGherardi, Douglas Francisco Marcolino
Aragão, Luiz Eduardo Oliveira e Cruz de
e-Mail Addresswanderf@dsr.inpe.br
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 17 (SBSR)
Conference LocationJoão Pessoa
Date25-29 abr. 2015
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages2498-2505
Book TitleAnais
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2015-06-15 15:07:25 :: banon -> administrator ::
2018-06-06 03:20:14 :: administrator -> simone :: 2015
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
AbstractThe culture of sugarcane has great importance in the brazilian agribusiness. Remote sensing images have been tradicionally used on manual mapping of sugarcane fields. Manual classification is a laborious and time-consuming task, especially given the size of the territory, and it is still necessary to assess the quality of the maps. Image fusion can improve the identification and mapping of surface features. The computational data mining methodology demonstrates high potential for application in areas related to crop mapping and several classification techniques can be used. Most studies on fusion of remote sensing images have focused on the analysis of spectral and spatial quality of the products obtained by different algorithms, however, once classification is applied on these products, it is important to analyze the impact of fusion in the classification. In the literature there are few studies on this topic, especially considering the Landsat-8. In this context, we evaluated five pansharpening methods - Intensity-Hue-Saturation (IHS), Principal Components (PC), Gran-Schmidt (GS), Discrete Wavelet Transform (DWT) and DWT+IHS for the classification of sugarcane fields in a Landsat-8 image (bands 4, 5 and 6). The Support Vector Machine (SVM) algorithm was used to perform a target detection of sugarcane, using a binary classification. The samples used were selected based on a field survey realized on the study area. The best fusion techniques were the DWT+IHS, DWT and IHS, which obtained higher Universal Image Quality Index (UIQI) and Spatial Relative Dimensionless Global Error in Synthesis (SERGAS) values. However, considering the effects on classification, the GS fusion showed better results than other methods.
AreaSRE
TypeProcessamento de imagens
Arrangement 1urlib.net > BDMCI > Fonds > SBSR > SBSR 17 > Effects of Image...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > SBSR 17 > Effects of Image...
Arrangement 3Projeto Memória 60... > Livros e livros editados > SBSR 17 > Effects of Image...
Arrangement 4urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Effects of Image...
Arrangement 5urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Effects of Image...
Arrangement 6urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGOBT > Effects of Image...
Arrangement 7urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Effects of Image...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP6W34M/3JM4A4E
zipped data URLhttp://urlib.net/zip/8JMKD3MGP6W34M/3JM4A4E
Languagept
Target Filep0504.pdf
User Groupbanon
Visibilityshown
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGP6W34M/3JJLLP2
8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3EU2H28
8JMKD3MGPCW/3F3NU5S
Citing Item Listsid.inpe.br/marte2/2015/05.31.21.54 5
sid.inpe.br/bibdigital/2013/09.09.15.05 1
sid.inpe.br/bibdigital@80/2006/04.07.15.50.13 1
Host Collectiondpi.inpe.br/marte2/2013/05.17.15.03.06
6. Notes
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